Marching Out From Ultima Thule: Critical Counterstories of Emancipatory Educators Working at the Intersection of Human Rights, Animal Rights, and Planetary Sustainability
Bibliographic record
Abstract
It is not altogether uncommon now to hear environmental educational theorists speak of the need to develop pedagogical methods that can work both for ecological sustainability and social justice. However, the majority of the socio-ecological turn in environmental education has failed to integrate nonhuman animal advocacy as a serious educational issue. In this essay, then, we critically inquire into the theoretical practices of these environmental educators and thereby offer the future promise of a total liberation pedagogy that works to further critical intersectional literacy on behalf of all oppressions and ecological sustainability. We then introduce and contextualize the practices of nine new paradigm educators at work in both formal and non-formal arenas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.102 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.008 | 0.019 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".